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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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Event-based internet biosurveillance: relation to epidemiological observation.

Noele P Nelson¹, Li Yang, Aimee R Reilly

¹Department of Pediatrics, Georgetown University Medical Center, Washington, DC, 20007, USA. npn@georgetown.edu.

Emerging Themes in Epidemiology

|June 20, 2012

Summary

Internet biosurveillance using the Argus system provides reliable and timely data for tracking pandemics like H1N1 influenza. This event-based approach complements traditional surveillance, offering early warnings for public health preparedness.

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Area of Science:

Epidemiology
Public Health Surveillance
Infectious Disease Dynamics

Background:

Traditional disease surveillance methods are time-consuming and labor-intensive.
Event-based biosurveillance leverages internet sources to complement traditional methods.
Assessing the reliability and timeliness of internet-based biosurveillance is crucial.

Purpose of the Study:

To evaluate the reliability of internet biosurveillance using the Argus system.
To compare Argus data with World Health Organization (WHO) epidemiological data for pandemic (H1N1) 2009.
To assess disease-specific alert criteria for epidemiological data correlation and timeliness.

Main Methods:

Compared WHO and Argus biosurveillance system data for pandemic (H1N1) 2009 (April 2009 - January 2010).
Analyzed data from 8 regions and 122 countries.
Identified reliable alert criteria, determined data correlation for disease progression, and assessed information timeliness.

Main Results:

Five Argus alert categories showed statistically significant correlation with WHO case data (p < 0.05).
The sum of these five categories strongly correlated with WHO data (r = 0.81, p < 0.0001).
Argus reported confirmed cases 1-16 days earlier than WHO for 42% of countries.

Conclusions:

Internet biosurveillance (Argus) provides reliable and timely data consistent with WHO findings for pandemic (H1N1) 2009.
Disease-specific alert criteria offer situational awareness and act as proxy indicators for disease progression.
Internet biosurveillance can serve as an early-warning system for future pandemics, enhancing public health preparedness.